scholarly journals FUZZY INTEGRATED DESERTIFICATION VULNERABILITY MODEL

2018 ◽  
Vol XLII-5 ◽  
pp. 395-401
Author(s):  
V. A. Dave ◽  
K. Sur
Keyword(s):  
Land Degradation ◽  
Economic Factor ◽  
Land Productivity ◽  
Analytic Hierarchy ◽  
System Parameters ◽  
Natural Processes ◽  
System A ◽  
Vulnerability Model ◽  
Grey Clustering ◽  
Hierarchy Process

<p><strong>Abstract.</strong> Desertification and Land Degradation have constantly affected the global environment over the years. Land degradation is a reduction or loss of productivity over land due to natural processes, climate change and human activities. It involves complex set of processes, which interacts over space to decrease in land productivity. In the present study, regional desertification vulnerability assessment was carried out for Bhavnagar district of Gujarat, India. A vulnerability is a basic concept which explains the flaw in any structure of a system. A vulnerability may also refer to any type of shortcoming in systems, sub system parameters or processes, or in anything that leads the system to be exposed to a threat. Fuzzy Logic (FL) method combined with remote sensing (RS) and geographic information system (GIS) techniques has several advantages for assessing vulnerability. Technically FL combines the intricate classical analytic hierarchy process and grey clustering method for estimation of coefficients. Climate, soil, vegetation and land use play a significant role in desertification of any area, hence, in this work, several indices have been generated. However, man’s intervention leads to significant changes in the environment, making socio-economic factor as a major input to assess vulnerability for desertification. Thus in this study FL has been integrated with both natural and socioeconomic factors for understanding the vulnerability to desertification in Bhavnagar region.</p>

scholarly journals The Grey Clustering Analysis for Photovoltaic Equipment Importance Classification

2017 ◽  
Vol 6 (2) ◽  
pp. 47
Author(s):  
Hongjiu LIU ◽  
Qin ZHANG
Keyword(s):  
Clustering Analysis ◽  
Maintenance Management ◽  
Analysis Model ◽  
Reliable Operation ◽  
Power Station ◽  
Analytic Hierarchy ◽  
Operation And Maintenance ◽  
Grey Clustering ◽  
Judgment Matrix ◽  
Hierarchy Process

The evaluation of equipment importance is an important part of the operation and maintenance management and its purpose is to identify the key equipment which has important influence on the reliable operation of the power station. On the basis of grey clustering theory, the paper firstly establishes the analysis model of photovoltaic (pv) power station equipment importance and the weights of factors in the target hierarchy is solved by using the judgment matrix in analytic hierarchy process. Secondly, according to the whitenization weight function of the grey clustering, pv equipment is classified into three types: key equipment, vital equipment and general equipment, which lays the foundation for the equipment maintenance strategy choice. Finally, an application example verifies the practicality and scientificity of the proposed method.

scholarly journals An Application of Fuzzy Analytic Hierarchy Process in Risk Evaluation Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Geng Peng ◽  
Lu Han ◽  
Zeyan Liu ◽  
Yanyang Guo ◽  
Junai Yan ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Evaluation Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Land Conflicts ◽  
System A ◽  
Medium Level ◽  
Hierarchy Process ◽  
Controllability Index

Conflicts in land exploration are incisive social problems which have been the subject in many studies. Risk assessment of land conflicts is effective to resolve such problems. Specifically, fuzzy mathematics and the analytic hierarchy process were combined together to evaluate risk in land conflicts in our work, which is proved useful to solve uncertainty and imprecision problems. Based on the analysis of the principles for the risk assessment of a land conflicts index system, a set of risk assessment indexes using the fuzzy analytic hierarchy process (FAHP) was presented. The results show that the overall risk is at medium level, and the risk of the feasibility index and controllability index need to be paid more attention to. The contribution of this article is reflected in two aspects: (1) the application of FAHP in risk assessments of land conflicts is effective and valid; (2) it is helpful for governments to establish a stricter management system of work safety for conflicts in land exploration based on the risk assessment results.

scholarly journals Selección de un método para la evaluación del impacto social usando AHP

2018 ◽  
pp. 84-91
Keyword(s):  
Analytic Hierarchy Process ◽  
Impact Assessment ◽  
Social Impact ◽  
Alternative Methods ◽  
Social Impact Assessment ◽  
Analytic Hierarchy ◽  
Environmental Conflicts ◽  
Grey Clustering ◽  
Alternative Methodology ◽  
Hierarchy Process

Selección de un método para la evaluación del impacto social usando AHP Selection of a method for social impact assessment using AHP Alexi Delgado1, 2, I. Romero1 1 Instituto Universitario de Investigación de Ingeniería del Agua y Medio Ambiente (IIAMA), Universitat Politècnica de València, España. 2 Universidad de Ciencias y Humanidades, Perú. DOI: https://doi.org/10.33017/RevECIPeru2015.0013/ Resumen El incremento de conflictos socio-ambientales durante la planificación o la ejecución de proyectos hacen que la evaluación del impacto social sea cada vez más necesaria y objetiva con el fin de prevenir posibles conflictos sociales. En este artículo realizamos un estudio para seleccionar la mejor alternativa metodológica disponible y aplicable a la evaluación del impacto social – social impact assessment (SIA) en proyectos y programas. La selección fue realizada aplicando la metodología del proceso analítico jerárquico - analytic hierarchy process (AHP). En este estudio se propusieron cuatro métodos alternativos para la evaluación del impacto social: Delphi, AHP, FAHP y agrupación Grey, los cuales fueron jerarquizados de acuerdo a los criterios de: Cuantificación, robustez y estandarización. Para realizar la selección usando AHP  se contó con la participación de un panel de cuatro expertos seleccionados para este estudio. Los resultados mostraron que el mejor método para la evaluación del impacto social es la Evaluación grey complementado con el método Delphi y otros procedimientos cualitativos durante la fase de estudio de campo y recolección de información. Descriptores: Evaluación del impacto social, Proceso analítico jerárquico (AHP) Abstract Increase of socio-environmental conflicts during the planning or execution of projects makes social impact assessment is increasingly necessary and objective in order to prevent potential social conflicts. In this paper, we present a study to select the best alternative methodology available and applicable to social impact assessment (SIA) on projects and programs. The selection was conducted using the methodology of analytic hierarchy process (AHP). In this study four alternative methods for social impact assessment were proposed: Delphi, AHP, FAHP and Grey clustering, which were ranked according to criteria: Quantification, robustness and standardization. To make the selection using AHP, we provided of a panel of four experts selected for this study. The results showed that the best method for social impact assessment is the Grey clustering complemented with Delphi method and other qualitative procedures during field study and data collection. Keywords: Social Impact Assessment (SIA), Analytic Hierarchy Process (AHP).

scholarly journals Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality Evaluation

2018 ◽  
Vol 246 ◽  
pp. 02004
Author(s):  
Jia Wang ◽  
Xu Wang ◽  
Xinhua Zhang ◽  
Haichen Li ◽  
Xiaohui Lei ◽  
...  
Keyword(s):  
Water Quality ◽  
Analytic Hierarchy Process ◽  
Water Environment ◽  
Clustering Coefficient ◽  
Clustering Method ◽  
Analytic Hierarchy ◽  
Environment Management ◽  
Grey Clustering ◽  
Hierarchy Process ◽  
Improved Analytic Hierarchy Process

To highlight the differences in water quality impacts of different indicators in water samples, this paper proposes a grey clustering method based on improved analytic hierarchy process to evaluate the quality of surface water. According to the pollution degree of different indicators in the water quality sample, the importance score is assigned, and the weight of different indicators is calculated by the analytic hierarchy process. The weight participates in the calculation of the grey clustering coefficient, and the evaluated water quality category considers the difference of the contribution rate of different pollutant indicators. The water quality samples of three water periods (Abundant, Normal, and Poor water flow periods) in the four sections of Qingshui River in Duyun City (Tea garden, Youhang, Yingpan and Jiadeng) were selected for evaluation, and the conventional grey clustering method and single factor method were used. The evaluation results were compared and analyzed. The evaluation results show that the improved grey clustering method is more scientific and reasonable and can provide a basis for water quality assessment and water environment management of water environment management departments.

R&D PERFORMANCE MONITORING, EVALUATION, AND MANAGEMENT SYSTEM: A MODEL AND METHODS

2011 ◽  
Vol 08 (02) ◽  
pp. 295-313 ◽  
Author(s):  
HAKYEON LEE ◽  
MOON-SOO KIM ◽  
SOUNG RYONG YEE ◽  
KYUNGIL CHOE
Keyword(s):  
Management System ◽  
Performance Monitoring ◽  
Data Envelopment ◽  
Short Term ◽  
Analytic Hierarchy ◽  
Public Programs ◽  
System A ◽  
Proposed Model ◽  
Hierarchy Process

Since previous frameworks and methods for evaluation of national R&D have mainly focused on short-term R&D outputs, long-term R&D outcomes have been neglected so that they have failed to be fully utilized and spread. Thus, it is imperative to mirror long-term R&D outcomes in performance evaluation and utilize them through continuous management and monitoring. In response, this paper presents a model of R&D performance monitoring, evaluation, and management system (RPMEMS) for national R&D. The conceptual model of RPMES is presented with its scope, structure, role, and process. It is based on the logic model used in the planning and evaluation of public programs. This study also proposes two methods for relative comparison in the context of RPMEMS: analytic hierarchy process (AHP) and data envelopment analysis (DEA). The proposed model of RPMEMS and methods for relative comparison are expected to be effectively implemented and operated in the practice of management of national R&D.

scholarly journals A Sustainable Evaluation Method for a Tourism Public Wayfinding System: A Case Study of Shanghai Disneyland Resort

2020 ◽  
Vol 12 (20) ◽  
pp. 8489
Author(s):  
Wenying Zhang ◽  
Lian Zhu ◽  
Zixuan Zhang ◽  
Zhan Zhang ◽  
Linjun Lu
Keyword(s):  
Evaluation Method ◽  
Expert Advice ◽  
Analytic Hierarchy ◽  
Tourist Satisfaction ◽  
System A ◽  
Tourism Management ◽  
Topological Relationships ◽  
Sustainable Evaluation ◽  
Hierarchy Process

The traditional method of designing wayfinding systems has been used in tourism management for decades. However, the absence of quantitative evaluations for the wayfinding system at tourist resorts may affect information transmission and cause visitors to feel lost. This article proposes a quantitative approach and applies it to the wayfinding system at the Shanghai Disneyland Resort from 2017 to 2019, where the layouts and the contents of wayfinding signboards are systematically evaluated. The analytic hierarchy process is used in conjunction with expert advice to rank 11 elements of content design, and four reasonable indices are calculated to explore the spatial–topological relationships at the tourism resort. According to both the field and expert investigation and tourists’ responses to designed questionnaires, the results show that this method containing content and layout evaluation can enhance tourist satisfaction in certain aspects, thus helping to improve tourism management by considering important indices in wayfinding signage design and modification.

scholarly journals Safety Assessment of an Aging Offshore Jacket Platform by Integrating Analytic Hierarchy Process and Grey Clustering Method

2016 ◽  
Author(s):  
Xingxian Bao ◽  
Aixia Cao ◽  
Fuzhen Qin
Keyword(s):  
First Grade ◽  
Weight Vector ◽  
Second Grade ◽  
Bohai Bay ◽  
Analytic Hierarchy ◽  
Jacket Platform ◽  
Offshore Jacket Platform ◽  
Grey Clustering ◽  
Target Layer ◽  
Hierarchy Process

It is a significant task to assess the safety of the aging offshore jacket platform in order to extend the service life. This paper analyzes the multiple risk factors of an aging jacket platform in Bohai Bay, China and builds the safety evaluation index system, which includes three levels, namely, the target layer, the first-grade indicators layer and the second-grade indicators layer. The target layer consists of three first-grade indicators: ocean environments, structure status, and human and organizational factors. Each first-grade indicator is divided into three second-grade indicators. The weight of each indicator is calculated by analytic hierarchy process to weaken subjective effect. Grey clustering method is applied to estimate the failure risk of the platform in Bohai Bay qualitatively and quantitatively. The assessment standard is divided into five grades and the whitening function of each grey cluster is determined by the assessment scheme. The grey evaluation weight vector of each second-grade indicator is calculated by the table dispatching method. Through layer by layer calculation, the grey assessment value of the target layer is finally estimated by making the grey assessment weight vector single-value and the grey grade is determined according to the maximum principle. The evaluation results show quantitatively that the failure risk grade of the jacket platform in Bohai Bay is medium and the safety assessment method is reasonable and feasible.

scholarly journals Blockchain localization spoofing detection based on Fuzzy AHP in IoT systems

2021 ◽  
Author(s):  
Wenzhe Lv ◽  
Xuesong Qiu ◽  
Luoming Meng
Keyword(s):  
Evaluation Method ◽  
Fuzzy Ahp ◽  
Channel State ◽  
Analytic Hierarchy ◽  
Location Data ◽  
System A ◽  
Spoofing Detection ◽  
Location Spoofing ◽  
Hierarchy Process ◽  
Location Proof

Abstract Location spoofing detection is an important part of location proof schemes in IoT systems. It is important for location systems to accurately evaluate the credibility of location data uploaded by users. Differ with the works employing physical layer features such as signal strength or channel state information, we focus on laying the foundation for solutions aiming to build the location spoofing detection functions in the blockchain based IoT systems. More specifically,an IoT system is established at the node level and the moving-track level for the evaluation of the credibility of location proof with the characteristics of the blockchain positioning system. A multi-layer fuzzy Analytic Hierarchy Process (AHP) evaluation method is considered for the detection of location spoofing in blockchains. The simulation results show that the proposed scheme is practical, and can provide a reference for the credibility evaluation of location proof.

scholarly journals A real-time identification and mitigation solution generation method of random disturbance in a manufacturing system

2020 ◽  
Vol 12 (7) ◽  
pp. 168781402094370
Author(s):  
Yuyun Kang ◽  
Guifang Feng ◽  
Zhenhai Wang
Keyword(s):  
Manufacturing System ◽  
Evaluation Model ◽  
Random Disturbance ◽  
Analytic Hierarchy ◽  
System A ◽  
Hardware System ◽  
Solution Generation ◽  
Criteria Weights ◽  
Real Time Identification ◽  
Hierarchy Process

In order to timely identify and mitigate the adverse effect of the random disturbance in the manufacturing system, a method of identifying and mitigating the random disturbance is proposed. In the method, the disturbance is structured into several categories, and each is subdivided into several events. The disturbance data detected by the hardware system are normalized to 10 scales for more accurate monitoring. An evaluation model is built and it has a bi-layer criteria system, which can evaluate every category disturbance and the whole system at the same time. The fuzzy analytic hierarchy process is utilized to calculate the criteria weights and evaluate the impacts of the disturbance. Time and cost used as constraints are combined into the adjustment solution. The BP neural network is used to generate adjustment solution for the disturbance, and then the resource and task scheduler are adjusted to mitigate the loss caused by the disturbance. Finally, the proposed method is illustrated by an example, and the validity of the method is verified.

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